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consultant data science

Arcadis

<div>
 Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
 
 
 We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world&rsquo;s most complex challenges and deliver more impact together.
 
 
 
 Qualification &amp; Experience:
 
 
 
 <ul>
 <li>
 Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies.
 </li>
 <li>
 Technical Responsibilities &ndash;
 </li>
 <ul>
 <li>
 Excellent proficiency in Python, with a strong focus on developing advanced skills.
 </li>
 <li>
 Extensive exposure to NLP and image processing concepts.
 </li>
 <li>
 Proficient in version control systems like Git.
 </li>
 <li>
 In-depth understanding of Azure deployments.
 </li>
 <li>
 Expertise in OCR, ML model training, and transfer learning.
 </li>
 <li>
 Experience working with unstructured data formats such as PDFs, DOCX, and images. O
 </li>
 <li>
 Strong familiarity with data science best practices and the ML lifecycle.
 </li>
 <li>
 Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks.
 </li>
 <li>
 Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery.
 </li>
 </ul>
 <li>
 Tool Exposure: Advanced understanding and hands-on experience with Git, Azure, Python, R programming and data engineering tools such as Snowflake, Databricks, or PySpark.
 </li>
 <li>
 Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies.
 </li>
 <li>
 Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure, AWS, or GCP.
 </li>
 <li>
 Data Analysis: Executing complex analyses against business requirements using appropriate tools and technologies.
 </li>
 <li>
 Software Development: Leading the development of reusable, version-controlled code under minimal supervision.
 </li>
 <li>
 Big Data Processing: Developing solutions to handle large-scale data processing using tools like Hadoop, Spark, or Databricks.
 
 
 </li>
 </ul>
 
 Principal Duties &amp; Key Responsibilities:
 
 
 
 <ul>
 <li>
 Leading data extraction from multiple sources, including PDFs, images, databases, and APIs.
 </li>
 <li>
 Driving optical character recognition (OCR) processes to digitize data from images.
 </li>
 <li>
 Applying advanced natural language processing (NLP) techniques to understand complex data.
 </li>
 <li>
 Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance.
 </li>
 <li>
 Designing and managing scalable cloud-based data architectures using Azure, AWS, or GCP services.
 </li>
 <li>
 Collaborating closely with business domain experts to identify and drive key business value drivers.
 </li>
 <li>
 Documenting model design choices, algorithm selection processes, and dependencies.
 </li>
 <li>
 Effectively collaborating in cross-functional teams within the CoE and across the organization.
 </li>
 <li>
 Proactively seeking opportunities to contribute beyond assigned tasks.
 
 
 </li>
 </ul>
 
 Required Competencies:
 
 
 
 <ul>
 <li>
 Exceptional communication and interpersonal skills.
 </li>
 <li>
 Proficiency in Microsoft Office 365 applications.
 </li>
 <li>
 Ability to work independently, demonstrate initiative, and provide strategic guidance.
 </li>
 <li>
 Strong networking, communication, and people skills.
 </li>
 <li>
 Outstanding organizational skills with the ability to work independently and as part of a team.
 </li>
 <li>
 Excellent technical writing skills.
 </li>
 <li>
 Effective problem-solving abilities.
 </li>
 <li>
 Flexibility and adaptability to work flexible hours as required.
 
 
 </li>
 </ul>
 
 Key competencies / Values:
 
 
 
 <ul>
 <li>
 Client Focus: Tailoring skills and understanding client needs to deliver exceptional results.
 </li>
 <li>
 Excellence: Striving for excellence defined by clients, delivering high-quality work.
 </li>
 <li>
 Trust: Building and retaining trust with clients, colleagues, and partners.
 </li>
 <li>
 Teamwork: Collaborating effectively to achieve collective success.
 </li>
 <li>
 Responsibility: Taking ownership of performance and safety, ensuring accountability.
 </li>
 <li>
 People: Creating an inclusive environment that fosters individual growth and development.
 
 
 </li>
 </ul>
 Why Arcadis?
 
 
 We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It&rsquo;s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.
 
 
 You&rsquo;ll do meaningful work, and no matter what role, you&rsquo;ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.
 
 
 Together, we can create a lasting legacy.
 
 
 Join Arcadis. Create a Legacy.
 
 
 Our Commitment to Equality, Diversity, Inclusion &amp; Belonging
 
 
 We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity.
 
 
</div>

Consultant Data Science

Eli Lilly and Company

<div>
 At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
 
 
 
 Purpose:
 
 The demand for high-quality health economic and outcomes research (HEOR) and real-world evidence (RWE) to support drug development, health technology assessment/access decisions, product differentiation, and clinical decision-making continues to increase. The purpose of the Lilly HEOR team is to accelerate equitable patient access and transform healthcare delivery through the execution and communication of bold, high-impact science. We are looking for talented, energetic, creative, diverse, influential, and collaborative team members to join the HEOR function and Team Lilly.
 
 
 The purpose of the Lilly Bengaluru HEOR Consultant/ Senior Consultant role is to provide functional influence and coordination across therapy area teams. The Lilly Bengaluru Consultant/ Senior Consultant will be responsible for collaborating with the HEOR teams, specifically International HTA, Therapy Area teams, and Project Management for project execution. The Lilly Bengaluru Consultant/ Senior Consultant will act as a subject matter expert for a brand or therapeutic area and will be responsible for the development of team capabilities
 
 
 
 Primary Responsibilities:
 
 This job description is intended to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not specifically described in the job description.
 
 
 Document Preparation / Document Management (40%)
 
 
 <ul>
 <li>
 Provide technical expertise and share scientific insights while planning, writing, editing, and reviewing HTA documents, while ensuring high-quality standards
 </li>
 <li>
 Conduct quality checks to ensure the accuracy of data included in documents
 </li>
 <li>
 Collate reviewer&rsquo;s comments, adjust the content of the document as required based on internal/external input, and prepare the final version
 </li>
 <li>
 Provide deliverables (eg: reimbursement dossier) or therapy area expertise
 </li>
 <li>
 Exhibit flexibility in moving across development and preparation of multiple document types
 </li>
 <li>
 Work with teams to ensure smooth and timely development of documents
 </li>
 <li>
 Influence or negotiate change of timelines and content with other team members
 
 
 
 </li>
 </ul>
 Knowledge and Skills Development (30%)
 
 
 <ul>
 <li>
 Maintain and enhance therapeutic area knowledge including, disease state and compound for assigned project
 </li>
 <li>
 Maintain advanced knowledge of Health outcomes-related research, including RWE studies. Good understanding/ exposure to reimbursement dossiers, value message development, economic evaluation, patient-reported outcome studies, etc.
 </li>
 <li>
 Possess an overarching view of the compound, therapeutic area, and external environment (including competitors) with the ability to lead the scientific data disclosure planning, clinical planning, submission strategy planning, customer regulatory responses, and/or current awareness literature updates and reviews
 </li>
 <li>
 Provide informal coaching to others by sharing technical information, giving guidance, and answering questions
 </li>
 <li>
 Network with others to identify and share best practices globally. Articulate industry trends, and implement relevant projects/ processes to optimize project planning and execution
 </li>
 <li>
 Support cross-functional coaching, mentoring, and training
 
 
 
 </li>
 </ul>
 Operational and Organizational Leadership (25%)
 
 
 <ul>
 <li>
 Ensure compliance with appropriate internal and external standards and policies
 </li>
 <li>
 Represent the Lilly Bengaluru HEOR capability on key cross-functional teams
 </li>
 <li>
 Provide leadership and coaching across the Lilly Bengaluru HEOR organization regarding technical expertise, strategy, and teamwork to deliver on organizational goals
 </li>
 <li>
 Ensure effective execution of work plans, resulting in relevant, reliable, and timely delivery for stakeholders
 </li>
 <li>
 Collaborate with cross-functional teams to assess risks and implement solutions
 </li>
 <li>
 Engage in activities supporting reward and recognition, team building, and diversity.
 
 
 
 </li>
 </ul>
 Capabilities Development and Stakeholder Value (5%)
 
 
 <ul>
 <li>
 Drive awareness and education of the value of Lilly Bengaluru HEOR within the IVA/GMA HEOR organization
 </li>
 <li>
 Assess newer capabilities and opportunities
 </li>
 <li>
 Represent the Lilly Bengaluru HEOR team on key IVA/GMA HEOR leadership and local Lilly Bengaluru leadership meetings to promote the work and accomplishments of the team
 
 
 
 </li>
 </ul>
 
 Minimum Qualification Requirements
 
 
 
 <ul>
 <li>
 Doctoral (e.g. PhD, DrPH, ScD, MD), Master&rsquo;s, or PharmD degree
 </li>
 <li>
 Proven health outcomes/ health economics experience over at least 7 years
 </li>
 <li>
 Strong interpersonal skills and proven ability to manage a project plan/ portfolio over at least 3 years
 </li>
 <li>
 Ability to inspire and contribute technical expertise
 </li>
 <li>
 Good problem-solving skills; able to anticipate and recognize problems, diagnose root causes, and take corrective action to prevent recurrence
 </li>
 <li>
 Strong comprehension and communication skills, including the ability to translate and disseminate complex scientific information in a clear and concise manner
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Strong interpersonal skills and the ability to be flexible in varying environments and with multiple customer groups.
 
 
 
 </li>
 </ul>
 
 Other Information/Additional Preferences
 
 
 
 <ul>
 <li>
 Strong understanding of the US and global health care systems and environment
 </li>
 <li>
 Proven ability to influence across organizations
 </li>
 <li>
 Ability to work well across cultures and time zones.
 
 
 
 </li>
 </ul>
 Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
 
 
 Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
 
 
 #WeAreLilly
</div>

Consultant/Senior Consultant

ValueLabs

<div>
 
 
 We're Hiring at ValueLabs!
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Role: Oracle Fusion HCM Techno-Functional Consultant
 
 
 
 
 Experience: 8+ Years
 
 
 
 
 
 
 Are you an Oracle Fusion HCM expert ready to take on exciting challenges? Join our team at
 
 ValueLabs
 
 , where innovation meets impact!
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 8+ years of experience in Oracle Fusion HCM as a Techno-Functional Consultant.
 </li>
 <li>
 Proven success in Oracle HCM implementations and support
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Collaborate with HR stakeholders to understand processes and gather requirements.
 </li>
 <li>
 Configure Oracle Fusion HCM modules (Core HR, Recruitment, Talent, etc.).
 </li>
 <li>
 Ensure compliance with policies and regulations.
 </li>
 <li>
 Build reports and dashboards using OTBI, BI Publisher, and Fast Formulas.
 </li>
 <li>
 Perform integrations using REST/SOAP APIs, HDL/FDI, and HCM Extracts.
 </li>
 <li>
 Lead data migrations and validations during implementations/upgrades.
 </li>
 <li>
 Conduct testing and troubleshoot issues effectively.
 </li>
 <li>
 Provide post-implementation support and user training.
 </li>
 <li>
 Stay updated on Oracle Fusion HCM features and patches.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 
 
 
 <ul>
 <li>
 BI Publisher, OTBI, HCM Extracts, Fast Formulas.
 </li>
 <li>
 HDL, HSDL, Application Security, Workflows, Page Customizations.
 </li>
 <li>
 Data migration from legacy systems.
 </li>
 <li>
 Oracle Cloud Integration tools, OIC, REST/SOAP APIs, Apex, ATP.
 </li>
 <li>
 SaaS extensions using VBCS.
 </li>
 <li>
 SQL, PL/SQL, and debugging tools.
 </li>
 </ul>
 
 
 
 
 
 Functional Skills:
 
 
 
 
 
 <ul>
 <li>
 Strong understanding of HR processes and workflows.
 </li>
 <li>
 Hands-on experience with Core HR, Recruitment, Absence, Payroll, Talent.
 </li>
 <li>
 Security Roles, AOR, and Compensation Workforce.
 </li>
 <li>
 Exposure to HR Help Desk and Employee Engagement modules is a plus.
 </li>
 </ul>
 
 
</div>

Oracle Consultant

Nykaa

<div>
 
 
 About the Team:
 
 Join the dynamic Nykaa Data Science team as a Machine Learning Scientist II. In this role, you will contribute to analyzing data and developing machine learning models that enhance the relevance and ranking of our search platforms. You will work closely with cross-functional teams to gather performance metrics, evaluate search outcomes, and optimize the user experience on Nykaa's platform. This position offers the opportunity to collaborate in a fast-paced environment and make a significant impact on our search functionalities.
 
 
 What are we looking for ?
 
 
 
 Education
 
 :
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s Degree in Data Science, Computer Science, Statistics, or a related field from a reputable institution.
 </li>
 </ul>
 
 
 Experience
 
 :
 
 <ul>
 <li>
 3+ years of industry experience in Data Science and building Machine Learning models.
 </li>
 <li>
 Demonstrated experience in building and deploying machine learning models that handle large datasets.
 </li>
 <li>
 Experience in Search Data Science, Natural Language Processing (NLP) tasks, or Vector Search is a plus.
 </li>
 </ul>
 
 
 Technical Skills
 
 :
 
 <ul>
 <li>
 Strong foundational knowledge in Probability Theory, Statistics, and Machine Learning.
 </li>
 <li>
 Proficiency with machine learning languages and frameworks such as Python, Numpy, Pandas, Scikit-Learn, PySpark, TensorFlow/PyTorch, XGBoost/LightGBM.
 </li>
 <li>
 Understanding of A/B testing methodologies and experience in designing, implementing, and analyzing experiments to evaluate search algorithm performance.
 </li>
 <li>
 Familiarity with best practices throughout all stages of the Data Science lifecycle, including data preprocessing, model training, evaluation, deployment and monitoring.
 </li>
 </ul>
 
 
 Soft Skills
 
 :
 
 <ul>
 <li>
 Demonstrated ownership and ability to deliver results on data-driven projects.
 </li>
 <li>
 Capability to manage multiple priorities in a fast-paced environment.
 </li>
 <li>
 Technical aptitude to quickly gr/asp complex technical issues and communicate effectively with both technical and non-technical teams.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Search Optimization
 
 : Analyze user behavior insights in search and develop high-quality machine learning algorithms to improve search relevance and ranking.
 </li>
 <li>
 
 Model Development
 
 : Lead and mentor other machine learning scientists to promote learning, growth, and success within the team.
 </li>
 <li>
 
 Continuous Learning:
 
 Stay updated on advancements in the field of Machine Learning and apply these learnings to improve search algorithms.
 </li>
 <li>
 
 Customer Focus
 
 : Understand customer needs and leverage technology to enhance the search experience on Nykaa&rsquo;s platform.
 </li>
 <li>
 
 Documentation and Reporting
 
 : Document models, experiments, and processes. Present findings and insights to stakeholders to inform decision-making.
 </li>
 </ul>
 
 
</div>

ML Scientist II - Search

Flipkart

<div>
 
 
 
 Research Manager &ndash; Machine Learning (RESEARCH SCIENCES)
 
 
 
 
 
 
 
 
 About Data Sciences Group at Flipkart:
 
 
 
 The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India&rsquo;s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity &mdash; to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.
 
 
 In a nutshell, the terabytes of daily data compounded in Flipkart&rsquo;s data centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.
 
 
 
 
 
 
 What this job entails:
 
 
 
 As a leader in the space of Data Science, you will lead a team of highly qualified professionals, within the context of a functional unit, with expertise in areas of Machine Learning &amp; Artificial Intelligence. Your team will comprise of Data Scientists. Your primary responsibility will be to strategize and guide the application of data sciences, and leverage data capabilities to drive Flipkart&rsquo;s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:
 
 <ul>
 <li>
 Closely work with the Data Science team to formulate data-led solutions and models
 </li>
 <li>
 Use advanced Machine Learning techniques to enable key business goals
 </li>
 <li>
 Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
 </li>
 <li>
 Should have thorough understanding of key AI and ML techniques &mdash; If not all &mdash; spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.
 </li>
 </ul>
 
 
 
 
 
 Key Roles &amp; Responsibilities:
 
 
 
 The Flipkart Data Science team applies capabilities across numerous business problem statements within the e-commerce ecosystem. The application extends across Customer Experience, Supply-Chain, Engineering, Cataloguing and other critical scenarios, with solutions designed around discovery, personalization, intent modelling, demand shaping and planning, insights, sentiment prediction, response matching, fulfilment automation, last-mile optimization, fraud modelling and search&mdash;all of which just form the tip of the iceberg. In this role, you will be responsible to:
 
 <ul>
 <li>
 Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
 </li>
 <li>
 Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart&rsquo;s ecosystem
 </li>
 <li>
 Ensure timely deployment of models in a high-pace business, large-scale production environment
 </li>
 <li>
 Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
 </li>
 <li>
 Build deep partnerships with business, product management, and technology leaders
 </li>
 <li>
 Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
 </li>
 <li>
 Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
 </li>
 <li>
 Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
 </li>
 </ul>
 
 
 
 
 
 Our Associations &amp; Collaborations:
 
 
 
 Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities &mdash; like CMU, IIT's, IISc and IIIT&rsquo;s &mdash; for developing class-leading solutions in the e-commerce sector.
 
 
 At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.
 
 
 
 
 
 
 Basic Qualification:
 
 
 
 Education Qualification: B.Tech / M.Tech in CS/ML/AI Statistics with demonstrable experience through publications / deployed solutions / projects.
 
 
 Should have formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.
 
 
 Strong technical skills in machine learning/AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.
 
 
 
</div>

Data Science Manager

Freshworks

<div>
 
 Organizations everywhere struggle under the crushing costs and complexities of &ldquo;solutions&rdquo; that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.
 
 
 
 
 
 There&rsquo;s another option. Freshworks. With a fresh vision for how the world works.
 
 
 
 
 
 At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&amp;P Global, and Sony Music, trust Freshworks&rsquo; customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world.
 
 
 
 
 
 
 Fresh vision. Real impact. Come build it with us
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Role Overview
 
 
 
 
 
 We are seeking a
 
 Salesforce Certified Sales Cloud Consultant
 
 with SaaS industry experience to design, implement, and optimize Salesforce Sales Cloud solutions. The consultant will partner with business stakeholders to translate requirements into scalable solutions, enhance sales productivity, and ensure Salesforce best practices are applied across the organization.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 
 Solution Design &amp; Implementation
 
 
 
 
 <ul>
 <li>
 
 Collaborate with internal teams to gather business requirements and design Sales Cloud solutions.
 
 
 
 </li>
 <li>
 
 Configure and customize Salesforce Sales Cloud features (Leads, Accounts, Contacts, Opportunities, Forecasting, Territories, Products, Price Books, Quotes).
 
 
 
 </li>
 <li>
 
 Implement sales automation processes including lead routing/assignment, workflow automation, approval processes, and validation rules.
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 Business Process Optimization
 
 
 
 
 <ul>
 <li>
 
 Analyze existing sales processes and recommend improvements leveraging Salesforce functionality.
 
 
 
 </li>
 <li>
 
 Develop scalable solutions to improve pipeline visibility, forecasting accuracy, and sales productivity.
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 Data Management &amp; Reporting
 
 
 
 
 <ul>
 <li>
 
 Ensure data integrity during migration and integrations with external systems.
 
 
 
 </li>
 <li>
 
 Create dashboards, reports, and analytics to support sales performance management.
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 Stakeholder Engagement
 
 
 
 
 <ul>
 <li>
 
 Act as the Salesforce subject matter expert (SME) for Sales Cloud.
 
 
 
 </li>
 <li>
 
 Train business users on new features and solutions.
 
 
 
 </li>
 <li>
 
 Provide post-implementation support and enhancements.
 
 
 
 </li>
 </ul>
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Salesforce
 
 Certified Sales Cloud Consultant
 
 credential (active).
 
 
 
 </li>
 <li>
 
 Strong knowledge of Salesforce core architecture, declarative configuration, and Sales Cloud capabilities.
 
 
 
 </li>
 <li>
 
 Prior Experience in handling large scale &amp; Complex SFDC Migrations.
 
 
 
 </li>
 <li>
 
 6-10+ years of Salesforce administration or consulting experience, with at least 1&ndash;2 years supporting SaaS or subscription-based businesses.
 
 
 
 </li>
 <li>
 Strong understanding of SaaS revenue models (ARR, MRR, bookings, churn, renewals).
 </li>
 <li>
 
 Hands-on experience with
 
 CPQ and/or Revenue Cloud
 
 .
 
 
 
 </li>
 <li>
 
 Hands-on experience with data migration, integrations, and third-party applications.
 
 
 
 </li>
 <li>
 
 Strong problem-solving, communication, and presentation skills.
 
 
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 
 Additional Salesforce certifications (Admin, Advanced Admin, Platform App Builder).
 
 
 
 </li>
 <li>
 
 Experience integrating Salesforce with SaaS billing systems (Eg: Chargebee, Netsuite).
 
 
 
 </li>
 <li>
 Background in Sales Operations, Revenue Operations, or Business Consulting in a SaaS environment.
 </li>
 <li>
 
 Experience with Partner Relationship Management.
 
 
 
 </li>
 </ul>
 
 At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business.
 
 Fresh vision. Real impact. Come build it with us.
 
 
 
 
</div>

Manager - Sales Operations

Tredence Inc.

<div>
 
 
 Product Owner (L2)
 
 
 
 
 Experience:
 
 2-4yrs
 
 
 
 Location:
 
 Bengaluru, India (Hybrid)
 
 
 
 Team:
 
 Product (R&amp;D)
 
 
 
 Type:
 
 Full-time
 
 
 
 
 
 
 About Tredence
 
 
 
 Tredence is a global analytics services and solutions company, recognized among the fastest-growing private firms on the Inc. 5000 list for three consecutive years. We deliver value through data visualization, data management, advanced analytics, big data, and machine learning. Our strength lies in building scalable, cost-effective cloud (GCP, Azure, AWS) and on-premise solutions, supported by a strong portfolio of IP and accelerators.
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking a
 
 Product Owner
 
 to join our Generative AI R&amp;D Studio team. You will play a key role in translating business objectives into impactful AI-driven accelerators and products, collaborating with cross-functional teams, and driving innovation at the frontier of enterprise AI.
 
 
 
 
 
 
 What are Accelerators?
 
 
 
 Accelerators are reusable mini-products designed to cut delivery timelines by
 
 30&ndash;70%
 
 while enhancing client outcomes. At Studio R&amp;D, we experiment, design, and build accelerators across industries like Retail, CPG, BFSI, Healthcare, and more &mdash; enabling faster client value delivery and execution at scale.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Translate business requirements into PRDs, user stories, and acceptance criteria.
 </li>
 <li>
 Collaborate with engineering, data science, QA, and design to deliver high-quality features.
 </li>
 <li>
 Support sales, marketing, and customer success through demos, release notes, documentation, and enablement collateral.
 </li>
 <li>
 Assist delivery teams with product support during client implementations.
 </li>
 <li>
 Track product success metrics, analyze performance, and synthesize learnings.
 </li>
 <li>
 Research emerging technologies across Tredence&rsquo;s business areas.
 </li>
 <li>
 Own prompt engineering and evals efforts for your respective product/accelerators.
 </li>
 <li>
 Communicate product updates, roadmap, and progress to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Experience &amp; Mindset
 
 
 <ul>
 <li>
 ~2 years of experience in product management (post-MBA preferred).
 </li>
 <li>
 Proven record of contributing to impactful projects in fast-paced environments.
 </li>
 <li>
 Strong problem-solving skills and ability to bring structure to ambiguity.
 </li>
 <li>
 Hunger to learn, experiment, and innovate.
 </li>
 </ul>
 
 
 Product Skills
 
 
 <ul>
 <li>
 Exposure to the product lifecycle (discovery &rarr; GA &rarr; scale) in Agile environments.
 </li>
 <li>
 Ability to convert technical concepts into business value and user stories.
 </li>
 <li>
 Strong communication, documentation, and stakeholder management.
 </li>
 </ul>
 
 
 Technical Fluency
 
 
 <ul>
 <li>
 Working knowledge of AI, data, cloud, ML, and data science.
 </li>
 <li>
 Hands-on experience with analytics/experimentation tools (SQL, Amplitude, Mixpanel, A/B testing, etc.).
 </li>
 </ul>
 
 
 
 
 
 Nice-to-Have:
 
 
 <ul>
 <li>
 Exposure to Business Analyst, Sales, Data Science, or Development roles.
 </li>
 <li>
 Experience with Conversational AI or automation platforms.
 </li>
 <li>
 Certifications in Agile/Scrum or cloud/AI platforms.
 </li>
 </ul>
 
 
 
 
 
 Why Join Product at Tredence?
 
 
 <ul>
 <li>
 Collaborate across
 
 six practices
 
 (Supply Chain, CXM, Data Engineering, Data Science, Digital Engineering, GenAI) and
 
 multiple verticals
 
 (Retail, CPG, BFSI, Healthcare, TMT, Travel &amp; Hospitality).
 </li>
 <li>
 Work hands-on with technologies from
 
 GCP, Azure, AWS, Databricks, Snowflake
 
 .
 </li>
 <li>
 Explore innovations beyond web &mdash; including Generative AI, VR, humanoids, and mobile platforms.
 </li>
 <li>
 Launch 3&ndash;4 accelerators annually, gaining exposure across industries and practices.
 </li>
 <li>
 Participate in leading industry events such as Cypher and DES.
 </li>
 </ul>
 
 
</div>

Product Consultant

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